Metadata-Version: 1.1
Name: optimuspyspark
Version: 1.2.3
Summary: Optimus is the missing framework for cleaning and preprocessing data in a distributed fashion with pyspark.
Home-page: https://github.com/ironmussa/Optimus/
Author: Favio Vazquez
Author-email: favio.vazquez@ironmussa.com
License: APACHE
Download-URL: https://github.com/ironmussa/Optimus/archive/1.2.3.tar.gz
Description-Content-Type: UNKNOWN
Description: Optimus is the missing framework for cleaning and pre-processing data in a distributed fashion.
        It uses all the power of Apache Spark (optimized via Catalyst) to do it. It implements several handy tools for data
        wrangling and munging that will make your life much easier. The first obvious advantage over any other public data
        cleaning library is that it will work on your laptop or your big cluster, and second, it is amazingly easy to install,
        use and understand.
        
        - Requirements:
        
        * Apache Spark 2.2.0
        
        * Python>=3.6
        
        - Installation:
        
        In your terminal just type:
        
        $ pip install optimuspyspark
        
        - Contributors:
        
        * Project Manager: Argenis León.
        
        * Original Developers: Andrea Rosales, Hugo Reyes, Alberto Bonsanto.
        
        * Principal developer and maintainer: Favio Vázquez.
        
        - License:
        
        Apache 2.0 © Iron
        
Keywords: datacleaner,apachespark,spark,pyspark,data-wrangling,data-cleansing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
